Senior Data Engineer - Databricks

Perficient; Colombia; Híbrido; COP 280.260.000 - 373.680.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive benefits

Paid time off & holidays

Billable bonus opportunities

Descripción de la vacante

Perficient is seeking a Data Engineer to design, build, and operate end-to-end data pipelines using PySpark on Databricks. You will implement ETL/ELT pipelines, contribute to lakehouse architectures, and ensure data quality and observability across large-scale systems.

You will collaborate with data architects, analysts, and stakeholders to translate requirements into scalable data solutions, while applying CI/CD and version control practices and leveraging cloud platforms such as Azure or AWS.

Formación

• BS in Computer Science, Engineering, or related technical field, or equivalent practical experience.

Responsabilidades

• Design, build, and maintain end-to-end data pipelines for ingestion, transformation, and delivery of large-scale data.
• Develop and optimize data processing logic using PySpark on Databricks (Apache Spark).
• Implement ETL/ELT pipelines integrating data from multiple structured and semi-structured sources.
• Contribute to the design and implementation of lakehouse architectures (Delta Lake, Medallion architecture).
• Ensure data quality, reliability, performance, and observability across pipelines.
• Optimize Spark jobs through partitioning, caching, and performance tuning techniques.
• Collaborate with data architects, analysts, and business stakeholders to translate requirements into scalable data solutions.
• Implement best practices in CI/CD, version control, and pipeline automation.
• Support the evolution of modern data platforms and analytics capabilities.
• Work with orchestration tools (ADF, Airflow, or similar) to manage workflows.
• Communicate technical solutions and trade-offs effectively to both technical and non-technical stakeholders.

Conocimientos

Python

SQL

Data pipelines

ETL/ELT

Lakehouse architecture

CI/CD practices

Git

Cloud platforms

Airflow

Azure Data Factory

Communication

English

Big data

Educación

BS in Computer Science, Engineering, or related technical field

Herramientas

Databricks

PySpark

Python

SQL

Airflow

Azure Data Factory

Fabric

Git

Delta Lake

Descripción del empleo

• Design, build, and maintain end-to-end data pipelines for ingestion, transformation, and delivery of large-scale data.
• Develop and optimize data processing logic using PySpark on Databricks (Apache Spark).
• Implement ETL/ELT pipelines integrating data from multiple structured and semi-structured sources.
• Contribute to the design and implementation of lakehouse architectures (Delta Lake, Medallion architecture).
• Ensure data quality, reliability, performance, and observability across pipelines.
• Optimize Spark jobs through partitioning, caching, and performance tuning techniques.
• Collaborate with data architects, analysts, and business stakeholders to translate requirements into scalable data solutions.
• Implement best practices in CI/CD, version control, and pipeline automation.
• Support the evolution of modern data platforms and analytics capabilities.
• Work with orchestration tools (ADF, Airflow, or similar) to manage workflows.
• Communicate technical solutions and trade-offs effectively to both technical and non-technical stakeholders.

Job Description

• Design, build, and maintain end-to-end data pipelines for ingestion, transformation, and delivery of large-scale data.
• Develop and optimize data processing logic using PySpark on Databricks (Apache Spark).
• Implement ETL/ELT pipelines integrating data from multiple structured and semi-structured sources.
• Contribute to the design and implementation of lakehouse architectures (Delta Lake, Medallion architecture).
• Ensure data quality, reliability, performance, and observability across pipelines.
• Optimize Spark jobs through partitioning, caching, and performance tuning techniques.
• Collaborate with data architects, analysts, and business stakeholders to translate requirements into scalable data solutions.
• Implement best practices in CI/CD, version control, and pipeline automation.
• Support the evolution of modern data platforms and analytics capabilities.
• Work with orchestration tools (ADF, Airflow, or similar) to manage workflows.
• Communicate technical solutions and trade-offs effectively to both technical and non-technical stakeholders.

Qualifications

• BS in Computer Science, Engineering, or related technical field, or equivalent practical experience.
• 4+ years of experience in Data Engineering or similar roles.
• Strong experience with Databricks and PySpark for large-scale data processing.
• Solid knowledge of Spark architecture and performance optimization.
• Strong proficiency in Python and SQL.
• Experience designing and building data pipelines and ETL/ELT processes.
• Understanding of modern data architectures (lakehouse, distributed systems, big data processing).
• Experience with version control (Git) and CI/CD practices.
• Familiarity with cloud platforms (Azure preferred, AWS also acceptable).
• Experience with orchestration tools (Azure Data Factory, Airflow, Fabric).
• Strong communication skills and ability to work with cross-functional teams.
• Advanced English (written and spoken).
• Proactive, analytical mindset and comfortable working in fast-paced environments.

Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work.

Who We Are

Perficient is a leading global digital consultancy. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed customers' expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, our colleagues bring big thinking and innovative ideas, along with a practical approach to help our clients - the world's largest enterprises and biggest brands succeed.

What We Believe

At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you'll become part of something truly special.

We believe in developing a workforce that is as diverse and inclusive as the clients we work with. We're committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leaders… and we're not done yet.

Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.

Disability Accommodations

Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.

Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.

About Us

Perficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world's most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com.

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